Evidence map›Paper›PMID 33378417›Full record

ArticleInternational journal of epidemiology2021

Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999-2015.

Kosuke Inoue, Roch Nianogo, Donatello Telesca, Atsushi Goto, Vahe Khachadourian, Yusuke Tsugawa, Takehiro Sugiyama, Elizabeth Rose Mayeda, Beate Ritz

Abstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Observational
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  5. Review
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  7. Article
  8. Terminal trajectory of HbAFrontiers in endocrinology · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kosuke InoueDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Roch NianogoDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Donatello TelescaDepartment of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Atsushi GotoDepartment of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan.ORCID 0000-0003-0669-654X
Vahe KhachadourianGerald & Patricia Turpanjian School of Public Health, American University of Armenia, Yerevan, Armenia.
Yusuke TsugawaDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Takehiro SugiyamaDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Elizabeth Rose MayedaDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.ORCID 0000-0002-6326-0163
Beate RitzDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
Racial Disparities in Alzheimer's Disease and Related Dementias: The Role of Blood Pressure Throughout AdulthoodR00AG053410 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYEDA, ELIZABETH ROSE · 2018 to 2020
$710k
Effects of Chronic Kidney Disease on Cardiovascular Disease and Dementia Among People with Diabetes: Causal Modeling with Machine Learning ApproachF99DK126119 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI INOUE, KOSUKE · 2020 to 2020
$34k
NIA NIH HHS R00 AG053410NICHD NIH HHS P2C HD041022NIDDK NIH HHS F99 DK126119NIH/NIA R00AG053410
6 · The paper itself

Abstract

objectiveIt is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population.

methodsThis study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999-2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to <5.0%; mid-level, 5.0 to <5.7%; prediabetes, 5.7 to <6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications.

resultsOver a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality.

conclusionsUsing the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

Indexed as

Cardiovascular DiseasesDiabetes MellitusAdultGlycated HemoglobinHumansNutrition SurveysRisk FactorsGlycated HemoglobincardiovascularLow HbA1cmachine learningmortalityNHANESparametric g-formula

Identifiers

PMID33378417
PMCPMC8562330

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.